Applied Scientist Intern
October 20
Description
• Work on real projects in a dynamic, startup-like environment • Engage in cutting-edge projects funded by AI and scalable time series analysis • Collaborate with multi-functional teams and receive mentorship
Requirements
• Actively pursuing a PhD in a related technical field • At least one semester/quarter remaining after the internship • Available to work 40 hours a week for 15 weeks from January 6 - April 18, 2025 • Coursework and research in machine learning or Generative AI • Experience with time series analysis and anomaly detection • Familiarity with ML frameworks like TensorFlow or PyTorch • Strong communication skills • Enthusiasm for solving problems
Benefits
• Flexibility in working arrangement • Choice of remote and/or in-office roles • Mentorship and collaboration opportunities
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